Overview

Dataset statistics

Number of variables34
Number of observations75811
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.3 MiB
Average record size in memory336.7 B

Variable types

Numeric27
Categorical7

Alerts

Daytime/evening attendance is highly imbalanced (58.3%)Imbalance
Debtor is highly imbalanced (63.0%)Imbalance
Tuition fees up to date is highly imbalanced (51.1%)Imbalance
Mother's occupation has 2185 (2.9%) zerosZeros
Father's occupation has 2038 (2.7%) zerosZeros
Curricular units 1st sem (credited) has 72767 (96.0%) zerosZeros
Curricular units 1st sem (enrolled) has 2580 (3.4%) zerosZeros
Curricular units 1st sem (evaluations) has 7810 (10.3%) zerosZeros
Curricular units 1st sem (approved) has 15785 (20.8%) zerosZeros
Curricular units 1st sem (grade) has 15786 (20.8%) zerosZeros
Curricular units 1st sem (without evaluations) has 73386 (96.8%) zerosZeros
Curricular units 2nd sem (credited) has 73146 (96.5%) zerosZeros
Curricular units 2nd sem (enrolled) has 2583 (3.4%) zerosZeros
Curricular units 2nd sem (evaluations) has 8635 (11.4%) zerosZeros
Curricular units 2nd sem (approved) has 18214 (24.0%) zerosZeros
Curricular units 2nd sem (grade) has 18215 (24.0%) zerosZeros
Curricular units 2nd sem (without evaluations) has 73677 (97.2%) zerosZeros

Reproduction

Analysis started2024-06-16 06:12:39.992521
Analysis finished2024-06-16 06:16:47.116953
Duration4 minutes and 7.12 seconds
Software versionydata-profiling v0.0.dev0
Download configurationconfig.json

Variables

Marital status
Real number (ℝ)

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1112635
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:47.429246image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile2
Maximum6
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4405045
Coefficient of variation (CV)0.39639967
Kurtosis35.154972
Mean1.1112635
Median Absolute Deviation (MAD)0
Skewness5.4038692
Sum84246
Variance0.19404422
MonotonicityNot monotonic
2024-06-16T11:46:47.697665image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 69578
91.8%
2 5217
 
6.9%
4 853
 
1.1%
5 114
 
0.2%
6 35
 
< 0.1%
3 14
 
< 0.1%
ValueCountFrequency (%)
1 69578
91.8%
2 5217
 
6.9%
3 14
 
< 0.1%
4 853
 
1.1%
5 114
 
0.2%
6 35
 
< 0.1%
ValueCountFrequency (%)
6 35
 
< 0.1%
5 114
 
0.2%
4 853
 
1.1%
3 14
 
< 0.1%
2 5217
 
6.9%
1 69578
91.8%

Application mode
Real number (ℝ)

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.050257
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:47.932214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median17
Q339
95-th percentile43
Maximum53
Range52
Interquartile range (IQR)38

Descriptive statistics

Standard deviation16.666313
Coefficient of variation (CV)1.0383829
Kurtosis-1.2379722
Mean16.050257
Median Absolute Deviation (MAD)16
Skewness0.59716675
Sum1216786
Variance277.76597
MonotonicityNot monotonic
2024-06-16T11:46:48.210216image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 34854
46.0%
17 16479
21.7%
39 14327
18.9%
44 2985
 
3.9%
43 2654
 
3.5%
7 1475
 
1.9%
18 1249
 
1.6%
42 546
 
0.7%
51 436
 
0.6%
16 262
 
0.3%
Other values (12) 544
 
0.7%
ValueCountFrequency (%)
1 34854
46.0%
2 8
 
< 0.1%
3 1
 
< 0.1%
4 1
 
< 0.1%
5 87
 
0.1%
7 1475
 
1.9%
9 1
 
< 0.1%
10 40
 
0.1%
12 1
 
< 0.1%
15 180
 
0.2%
ValueCountFrequency (%)
53 221
 
0.3%
51 436
 
0.6%
44 2985
 
3.9%
43 2654
 
3.5%
42 546
 
0.7%
39 14327
18.9%
35 1
 
< 0.1%
27 2
 
< 0.1%
26 1
 
< 0.1%
18 1249
 
1.6%

Application order
Real number (ℝ)

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6484151
Minimum0
Maximum9
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:48.486533image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum9
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2330521
Coefficient of variation (CV)0.74802282
Kurtosis3.3497132
Mean1.6484151
Median Absolute Deviation (MAD)0
Skewness2.0343372
Sum124968
Variance1.5204176
MonotonicityNot monotonic
2024-06-16T11:46:48.754545image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 53763
70.9%
2 8830
 
11.6%
3 5340
 
7.0%
4 3806
 
5.0%
5 2122
 
2.8%
6 1947
 
2.6%
0 2
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
1 53763
70.9%
2 8830
 
11.6%
3 5340
 
7.0%
4 3806
 
5.0%
5 2122
 
2.8%
6 1947
 
2.6%
9 1
 
< 0.1%
ValueCountFrequency (%)
9 1
 
< 0.1%
6 1947
 
2.6%
5 2122
 
2.8%
4 3806
 
5.0%
3 5340
 
7.0%
2 8830
 
11.6%
1 53763
70.9%
0 2
 
< 0.1%

Course
Real number (ℝ)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9010.2168
Minimum33
Maximum9991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:48.991885image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile8014
Q19119
median9254
Q39670
95-th percentile9991
Maximum9991
Range9958
Interquartile range (IQR)551

Descriptive statistics

Standard deviation1783.1368
Coefficient of variation (CV)0.19790165
Kurtosis19.632101
Mean9010.2168
Median Absolute Deviation (MAD)246
Skewness-4.5371357
Sum6.8307354 × 108
Variance3179576.8
MonotonicityNot monotonic
2024-06-16T11:46:49.264982image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9500 12007
15.8%
9773 8136
10.7%
9238 7877
10.4%
9147 7698
10.2%
9254 5403
 
7.1%
9085 5314
 
7.0%
9670 4744
 
6.3%
9991 4001
 
5.3%
9003 3677
 
4.9%
9070 3230
 
4.3%
Other values (9) 13724
18.1%
ValueCountFrequency (%)
33 70
 
0.1%
39 1
 
< 0.1%
171 2763
3.6%
979 1
 
< 0.1%
8014 2412
3.2%
9003 3677
4.9%
9070 3230
4.3%
9085 5314
7.0%
9119 2973
3.9%
9130 1580
 
2.1%
ValueCountFrequency (%)
9991 4001
 
5.3%
9853 3190
 
4.2%
9773 8136
10.7%
9670 4744
 
6.3%
9556 734
 
1.0%
9500 12007
15.8%
9254 5403
7.1%
9238 7877
10.4%
9147 7698
10.2%
9130 1580
 
2.1%

Daytime/evening attendance
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.8 MiB
1
69415 
0
 
6396

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters75811
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 69415
91.6%
0 6396
 
8.4%

Length

2024-06-16T11:46:49.640678image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-16T11:46:49.898716image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1 69415
91.6%
0 6396
 
8.4%

Most occurring characters

ValueCountFrequency (%)
1 69415
91.6%
0 6396
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75811
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 69415
91.6%
0 6396
 
8.4%

Most occurring scripts

ValueCountFrequency (%)
Common 75811
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 69415
91.6%
0 6396
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 69415
91.6%
0 6396
 
8.4%

Previous qualification
Real number (ℝ)

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6542059
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:50.149714image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile19
Maximum43
Range42
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.6116495
Coefficient of variation (CV)2.3566405
Kurtosis10.815464
Mean3.6542059
Median Absolute Deviation (MAD)0
Skewness3.438636
Sum277029
Variance74.160507
MonotonicityNot monotonic
2024-06-16T11:46:50.421719image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 66572
87.8%
19 2931
 
3.9%
39 2905
 
3.8%
3 1384
 
1.8%
12 888
 
1.2%
9 307
 
0.4%
40 248
 
0.3%
42 224
 
0.3%
2 97
 
0.1%
6 97
 
0.1%
Other values (11) 158
 
0.2%
ValueCountFrequency (%)
1 66572
87.8%
2 97
 
0.1%
3 1384
 
1.8%
4 20
 
< 0.1%
5 2
 
< 0.1%
6 97
 
0.1%
9 307
 
0.4%
10 43
 
0.1%
11 2
 
< 0.1%
12 888
 
1.2%
ValueCountFrequency (%)
43 34
 
< 0.1%
42 224
 
0.3%
40 248
 
0.3%
39 2905
3.8%
38 37
 
< 0.1%
37 3
 
< 0.1%
36 1
 
< 0.1%
19 2931
3.9%
17 2
 
< 0.1%
15 11
 
< 0.1%
Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.13556
Minimum100
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:50.725455image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile115
Q1125
median133.1
Q3139
95-th percentile150
Maximum164
Range64
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.552601
Coefficient of variation (CV)0.079861929
Kurtosis0.65235016
Mean132.13556
Median Absolute Deviation (MAD)6.9
Skewness0.011186544
Sum10017329
Variance111.35738
MonotonicityNot monotonic
2024-06-16T11:46:51.097452image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133.1 10672
 
14.1%
130 6241
 
8.2%
140 5889
 
7.8%
120 4489
 
5.9%
125 2749
 
3.6%
135 2527
 
3.3%
131 2197
 
2.9%
150 2149
 
2.8%
132 2097
 
2.8%
127 1753
 
2.3%
Other values (76) 35048
46.2%
ValueCountFrequency (%)
100 682
0.9%
101 27
 
< 0.1%
102 44
 
0.1%
103 17
 
< 0.1%
105 29
 
< 0.1%
106 94
 
0.1%
107 39
 
0.1%
108 167
 
0.2%
109 51
 
0.1%
110 1242
1.6%
ValueCountFrequency (%)
164 40
 
0.1%
163 60
 
0.1%
162.9 1
 
< 0.1%
162 76
 
0.1%
161 83
 
0.1%
160 1121
1.5%
159 50
 
0.1%
158 177
 
0.2%
157 153
 
0.2%
156 126
 
0.2%

Mother's qualification
Real number (ℝ)

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.852554
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:51.433639image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median19
Q337
95-th percentile38
Maximum44
Range43
Interquartile range (IQR)36

Descriptive statistics

Standard deviation15.396537
Coefficient of variation (CV)0.77554437
Kurtosis-1.6457527
Mean19.852554
Median Absolute Deviation (MAD)18
Skewness-0.04727747
Sum1505042
Variance237.05334
MonotonicityNot monotonic
2024-06-16T11:46:51.737643image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 20033
26.4%
19 18835
24.8%
37 18487
24.4%
38 8998
11.9%
3 5780
 
7.6%
34 1974
 
2.6%
2 601
 
0.8%
12 357
 
0.5%
4 305
 
0.4%
5 95
 
0.1%
Other values (25) 346
 
0.5%
ValueCountFrequency (%)
1 20033
26.4%
2 601
 
0.8%
3 5780
 
7.6%
4 305
 
0.4%
5 95
 
0.1%
6 21
 
< 0.1%
7 1
 
< 0.1%
8 1
 
< 0.1%
9 45
 
0.1%
10 15
 
< 0.1%
ValueCountFrequency (%)
44 2
 
< 0.1%
43 16
 
< 0.1%
42 19
 
< 0.1%
41 26
 
< 0.1%
40 49
 
0.1%
39 45
 
0.1%
38 8998
11.9%
37 18487
24.4%
36 15
 
< 0.1%
35 10
 
< 0.1%

Father's qualification
Real number (ℝ)

Distinct39
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.434488
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:52.019149image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median19
Q337
95-th percentile38
Maximum44
Range43
Interquartile range (IQR)33

Descriptive statistics

Standard deviation14.916535
Coefficient of variation (CV)0.63652061
Kurtosis-1.4120112
Mean23.434488
Median Absolute Deviation (MAD)18
Skewness-0.44156719
Sum1776592
Variance222.50301
MonotonicityNot monotonic
2024-06-16T11:46:52.672319image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
37 23073
30.4%
19 18863
24.9%
1 15477
20.4%
38 12155
16.0%
3 2942
 
3.9%
34 1775
 
2.3%
2 491
 
0.6%
12 292
 
0.4%
4 211
 
0.3%
39 116
 
0.2%
Other values (29) 416
 
0.5%
ValueCountFrequency (%)
1 15477
20.4%
2 491
 
0.6%
3 2942
 
3.9%
4 211
 
0.3%
5 98
 
0.1%
6 9
 
< 0.1%
7 2
 
< 0.1%
9 19
 
< 0.1%
10 10
 
< 0.1%
11 75
 
0.1%
ValueCountFrequency (%)
44 3
 
< 0.1%
43 14
 
< 0.1%
42 7
 
< 0.1%
41 11
 
< 0.1%
40 25
 
< 0.1%
39 116
 
0.2%
38 12155
16.0%
37 23073
30.4%
36 43
 
0.1%
35 5
 
< 0.1%

Mother's occupation
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5873026
Minimum0
Maximum194
Zeros2185
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:52.958302image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q39
95-th percentile9
Maximum194
Range194
Interquartile range (IQR)5

Descriptive statistics

Standard deviation17.478355
Coefficient of variation (CV)2.035372
Kurtosis65.679622
Mean8.5873026
Median Absolute Deviation (MAD)2
Skewness7.6959298
Sum651012
Variance305.4929
MonotonicityNot monotonic
2024-06-16T11:46:53.313911image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
9 32077
42.3%
4 15927
21.0%
5 9397
 
12.4%
3 4588
 
6.1%
7 4186
 
5.5%
2 4011
 
5.3%
0 2185
 
2.9%
90 973
 
1.3%
6 780
 
1.0%
1 757
 
1.0%
Other values (30) 930
 
1.2%
ValueCountFrequency (%)
0 2185
 
2.9%
1 757
 
1.0%
2 4011
 
5.3%
3 4588
 
6.1%
4 15927
21.0%
5 9397
 
12.4%
6 780
 
1.0%
7 4186
 
5.5%
8 237
 
0.3%
9 32077
42.3%
ValueCountFrequency (%)
194 79
 
0.1%
193 13
 
< 0.1%
192 23
 
< 0.1%
191 211
0.3%
175 9
 
< 0.1%
173 2
 
< 0.1%
172 1
 
< 0.1%
171 1
 
< 0.1%
163 1
 
< 0.1%
153 8
 
< 0.1%

Father's occupation
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8876284
Minimum0
Maximum195
Zeros2038
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:53.646930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q39
95-th percentile10
Maximum195
Range195
Interquartile range (IQR)4

Descriptive statistics

Standard deviation16.812821
Coefficient of variation (CV)1.8917106
Kurtosis61.892913
Mean8.8876284
Median Absolute Deviation (MAD)2
Skewness7.4908263
Sum673780
Variance282.67094
MonotonicityNot monotonic
2024-06-16T11:46:54.011906image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 22151
29.2%
7 12813
16.9%
5 9584
12.6%
4 6604
 
8.7%
3 5608
 
7.4%
8 5044
 
6.7%
10 4069
 
5.4%
6 2884
 
3.8%
2 2182
 
2.9%
0 2038
 
2.7%
Other values (46) 2834
 
3.7%
ValueCountFrequency (%)
0 2038
 
2.7%
1 1161
 
1.5%
2 2182
 
2.9%
3 5608
 
7.4%
4 6604
 
8.7%
5 9584
12.6%
6 2884
 
3.8%
7 12813
16.9%
8 5044
 
6.7%
9 22151
29.2%
ValueCountFrequency (%)
195 5
 
< 0.1%
194 8
 
< 0.1%
193 83
0.1%
192 27
 
< 0.1%
191 1
 
< 0.1%
183 8
 
< 0.1%
182 11
 
< 0.1%
181 19
 
< 0.1%
175 36
< 0.1%
174 3
 
< 0.1%

Admission grade
Real number (ℝ)

Distinct618
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.06576
Minimum95
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:54.352787image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile104.45
Q1117.9
median124.5
Q3131.7
95-th percentile146.7
Maximum163
Range68
Interquartile range (IQR)13.8

Descriptive statistics

Standard deviation12.076396
Coefficient of variation (CV)0.096560363
Kurtosis0.30880544
Mean125.06576
Median Absolute Deviation (MAD)7
Skewness0.218133
Sum9481360.7
Variance145.83933
MonotonicityNot monotonic
2024-06-16T11:46:54.687859image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 2993
 
3.9%
130 2701
 
3.6%
140 2614
 
3.4%
100 1666
 
2.2%
110 1476
 
1.9%
150 981
 
1.3%
128.2 692
 
0.9%
126.3 604
 
0.8%
116.5 597
 
0.8%
121 591
 
0.8%
Other values (608) 60896
80.3%
ValueCountFrequency (%)
95 292
0.4%
95.1 28
 
< 0.1%
95.5 42
 
0.1%
95.7 2
 
< 0.1%
95.8 19
 
< 0.1%
96 113
 
0.1%
96.1 11
 
< 0.1%
96.5 2
 
< 0.1%
96.7 31
 
< 0.1%
97 145
0.2%
ValueCountFrequency (%)
163 2
 
< 0.1%
162.9 4
 
< 0.1%
162.5 21
< 0.1%
162.4 5
 
< 0.1%
162.3 13
< 0.1%
162.2 9
< 0.1%
162.1 2
 
< 0.1%
162 19
< 0.1%
161.9 19
< 0.1%
161.8 5
 
< 0.1%

Displaced
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.8 MiB
1
43217 
0
32594 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters75811
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 43217
57.0%
0 32594
43.0%

Length

2024-06-16T11:46:54.997855image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-16T11:46:55.259844image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1 43217
57.0%
0 32594
43.0%

Most occurring characters

ValueCountFrequency (%)
1 43217
57.0%
0 32594
43.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75811
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 43217
57.0%
0 32594
43.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75811
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 43217
57.0%
0 32594
43.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 43217
57.0%
0 32594
43.0%

Debtor
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.8 MiB
0
70416 
1
 
5395

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters75811
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 70416
92.9%
1 5395
 
7.1%

Length

2024-06-16T11:46:55.555384image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-16T11:46:55.861065image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 70416
92.9%
1 5395
 
7.1%

Most occurring characters

ValueCountFrequency (%)
0 70416
92.9%
1 5395
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75811
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 70416
92.9%
1 5395
 
7.1%

Most occurring scripts

ValueCountFrequency (%)
Common 75811
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 70416
92.9%
1 5395
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 70416
92.9%
1 5395
 
7.1%

Tuition fees up to date
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.8 MiB
1
67742 
0
8069 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters75811
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 67742
89.4%
0 8069
 
10.6%

Length

2024-06-16T11:46:56.099583image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-16T11:46:56.355566image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
1 67742
89.4%
0 8069
 
10.6%

Most occurring characters

ValueCountFrequency (%)
1 67742
89.4%
0 8069
 
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75811
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 67742
89.4%
0 8069
 
10.6%

Most occurring scripts

ValueCountFrequency (%)
Common 75811
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 67742
89.4%
0 8069
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 67742
89.4%
0 8069
 
10.6%

Gender
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.8 MiB
0
51932 
1
23879 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters75811
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 51932
68.5%
1 23879
31.5%

Length

2024-06-16T11:46:56.625530image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-16T11:46:56.871564image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 51932
68.5%
1 23879
31.5%

Most occurring characters

ValueCountFrequency (%)
0 51932
68.5%
1 23879
31.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75811
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 51932
68.5%
1 23879
31.5%

Most occurring scripts

ValueCountFrequency (%)
Common 75811
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 51932
68.5%
1 23879
31.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 51932
68.5%
1 23879
31.5%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.8 MiB
0
57058 
1
18753 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters75811
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 57058
75.3%
1 18753
 
24.7%

Length

2024-06-16T11:46:57.095563image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-16T11:46:57.344528image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
0 57058
75.3%
1 18753
 
24.7%

Most occurring characters

ValueCountFrequency (%)
0 57058
75.3%
1 18753
 
24.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75811
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 57058
75.3%
1 18753
 
24.7%

Most occurring scripts

ValueCountFrequency (%)
Common 75811
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 57058
75.3%
1 18753
 
24.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 57058
75.3%
1 18753
 
24.7%

Age at enrollment
Real number (ℝ)

Distinct46
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.264408
Minimum17
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:57.682558image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile18
Q118
median19
Q323
95-th percentile38
Maximum70
Range53
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.8681353
Coefficient of variation (CV)0.30848049
Kurtosis5.8412034
Mean22.264408
Median Absolute Deviation (MAD)1
Skewness2.3743743
Sum1687887
Variance47.171283
MonotonicityNot monotonic
2024-06-16T11:46:57.997557image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
18 22082
29.1%
19 18006
23.8%
20 10319
13.6%
21 4494
 
5.9%
22 1894
 
2.5%
24 1814
 
2.4%
25 1651
 
2.2%
27 1499
 
2.0%
28 1345
 
1.8%
26 1274
 
1.7%
Other values (36) 11433
15.1%
ValueCountFrequency (%)
17 39
 
0.1%
18 22082
29.1%
19 18006
23.8%
20 10319
13.6%
21 4494
 
5.9%
22 1894
 
2.5%
23 1033
 
1.4%
24 1814
 
2.4%
25 1651
 
2.2%
26 1274
 
1.7%
ValueCountFrequency (%)
70 19
 
< 0.1%
62 3
 
< 0.1%
61 10
 
< 0.1%
60 17
 
< 0.1%
59 7
 
< 0.1%
58 64
0.1%
57 12
 
< 0.1%
55 59
0.1%
54 30
< 0.1%
53 45
0.1%

Curricular units 1st sem (credited)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18763768
Minimum0
Maximum20
Zeros72767
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:58.250556image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1702454
Coefficient of variation (CV)6.2367295
Kurtosis79.773051
Mean0.18763768
Median Absolute Deviation (MAD)0
Skewness8.2320374
Sum14225
Variance1.3694744
MonotonicityNot monotonic
2024-06-16T11:46:58.595570image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 72767
96.0%
2 650
 
0.9%
1 499
 
0.7%
3 408
 
0.5%
6 243
 
0.3%
4 235
 
0.3%
7 215
 
0.3%
5 213
 
0.3%
8 160
 
0.2%
9 103
 
0.1%
Other values (11) 318
 
0.4%
ValueCountFrequency (%)
0 72767
96.0%
1 499
 
0.7%
2 650
 
0.9%
3 408
 
0.5%
4 235
 
0.3%
5 213
 
0.3%
6 243
 
0.3%
7 215
 
0.3%
8 160
 
0.2%
9 103
 
0.1%
ValueCountFrequency (%)
20 5
 
< 0.1%
19 5
 
< 0.1%
18 7
 
< 0.1%
17 10
 
< 0.1%
16 10
 
< 0.1%
15 17
 
< 0.1%
14 45
0.1%
13 46
0.1%
12 51
0.1%
11 61
0.1%

Curricular units 1st sem (enrolled)
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8969411
Minimum0
Maximum26
Zeros2580
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:58.893451image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q15
median6
Q36
95-th percentile8
Maximum26
Range26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6606585
Coefficient of variation (CV)0.28161354
Kurtosis13.098287
Mean5.8969411
Median Absolute Deviation (MAD)0
Skewness0.30276102
Sum447053
Variance2.7577866
MonotonicityNot monotonic
2024-06-16T11:46:59.209241image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
6 38816
51.2%
5 19015
25.1%
7 8792
 
11.6%
8 4839
 
6.4%
0 2580
 
3.4%
12 357
 
0.5%
11 247
 
0.3%
10 234
 
0.3%
4 183
 
0.2%
9 169
 
0.2%
Other values (14) 579
 
0.8%
ValueCountFrequency (%)
0 2580
 
3.4%
1 37
 
< 0.1%
2 46
 
0.1%
3 47
 
0.1%
4 183
 
0.2%
5 19015
25.1%
6 38816
51.2%
7 8792
 
11.6%
8 4839
 
6.4%
9 169
 
0.2%
ValueCountFrequency (%)
26 2
 
< 0.1%
23 1
 
< 0.1%
22 1
 
< 0.1%
21 13
 
< 0.1%
19 10
 
< 0.1%
18 59
0.1%
17 65
0.1%
16 33
 
< 0.1%
15 93
0.1%
14 76
0.1%
Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.364459
Minimum0
Maximum45
Zeros7810
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:46:59.512238image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median7
Q39
95-th percentile13
Maximum45
Range45
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.5010014
Coefficient of variation (CV)0.47539153
Kurtosis2.7693611
Mean7.364459
Median Absolute Deviation (MAD)1
Skewness0.082159496
Sum558307
Variance12.257011
MonotonicityNot monotonic
2024-06-16T11:46:59.845239image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
8 15551
20.5%
7 12830
16.9%
6 12747
16.8%
0 7810
10.3%
9 5993
 
7.9%
10 5163
 
6.8%
5 4799
 
6.3%
11 3141
 
4.1%
12 3013
 
4.0%
13 1812
 
2.4%
Other values (26) 2952
 
3.9%
ValueCountFrequency (%)
0 7810
10.3%
1 43
 
0.1%
2 42
 
0.1%
3 34
 
< 0.1%
4 161
 
0.2%
5 4799
 
6.3%
6 12747
16.8%
7 12830
16.9%
8 15551
20.5%
9 5993
 
7.9%
ValueCountFrequency (%)
45 3
 
< 0.1%
36 3
 
< 0.1%
35 1
 
< 0.1%
33 4
< 0.1%
32 5
< 0.1%
31 5
< 0.1%
29 6
< 0.1%
28 1
 
< 0.1%
27 4
< 0.1%
26 8
< 0.1%

Curricular units 1st sem (approved)
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1828363
Minimum0
Maximum26
Zeros15785
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:00.103207image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q36
95-th percentile7
Maximum26
Range26
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.6827818
Coefficient of variation (CV)0.64137864
Kurtosis0.46033533
Mean4.1828363
Median Absolute Deviation (MAD)1
Skewness-0.12420205
Sum317105
Variance7.1973184
MonotonicityNot monotonic
2024-06-16T11:47:00.361238image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 21832
28.8%
0 15785
20.8%
5 12159
16.0%
7 7512
 
9.9%
4 6976
 
9.2%
3 4684
 
6.2%
2 2465
 
3.3%
1 1936
 
2.6%
8 1365
 
1.8%
11 274
 
0.4%
Other values (13) 823
 
1.1%
ValueCountFrequency (%)
0 15785
20.8%
1 1936
 
2.6%
2 2465
 
3.3%
3 4684
 
6.2%
4 6976
 
9.2%
5 12159
16.0%
6 21832
28.8%
7 7512
 
9.9%
8 1365
 
1.8%
9 190
 
0.3%
ValueCountFrequency (%)
26 2
 
< 0.1%
21 9
 
< 0.1%
20 3
 
< 0.1%
19 10
 
< 0.1%
18 41
 
0.1%
17 34
 
< 0.1%
16 10
 
< 0.1%
15 20
 
< 0.1%
14 44
 
0.1%
13 115
0.2%

Curricular units 1st sem (grade)
Real number (ℝ)

ZEROS 

Distinct1199
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.00442
Minimum0
Maximum18
Zeros15786
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:00.674276image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.666667
median12.166667
Q313.3
95-th percentile14.537143
Maximum18
Range18
Interquartile range (IQR)2.6333333

Descriptive statistics

Standard deviation5.2472048
Coefficient of variation (CV)0.52448863
Kurtosis-0.12340912
Mean10.00442
Median Absolute Deviation (MAD)1.2033333
Skewness-1.2766115
Sum758445.12
Variance27.533158
MonotonicityNot monotonic
2024-06-16T11:47:01.031287image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15786
 
20.8%
12 4369
 
5.8%
13 2862
 
3.8%
11 2705
 
3.6%
12.66666667 2078
 
2.7%
10 1546
 
2.0%
14 1464
 
1.9%
11.66666667 1420
 
1.9%
11.5 1419
 
1.9%
12.33333333 1390
 
1.8%
Other values (1189) 40772
53.8%
ValueCountFrequency (%)
0 15786
20.8%
1 1
 
< 0.1%
5.666666667 1
 
< 0.1%
7.6 1
 
< 0.1%
8 1
 
< 0.1%
8.875 1
 
< 0.1%
9.8 3
 
< 0.1%
10 1546
 
2.0%
10.16666667 5
 
< 0.1%
10.2 128
 
0.2%
ValueCountFrequency (%)
18 14
< 0.1%
17.33333333 5
 
< 0.1%
17.125 1
 
< 0.1%
17.11111111 2
 
< 0.1%
17 8
< 0.1%
16.88571429 1
 
< 0.1%
16.85714286 3
 
< 0.1%
16.83333333 5
 
< 0.1%
16.8 1
 
< 0.1%
16.71428571 6
< 0.1%
Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.057986308
Minimum0
Maximum12
Zeros73386
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:01.307293image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.40918572
Coefficient of variation (CV)7.056592
Kurtosis182.49924
Mean0.057986308
Median Absolute Deviation (MAD)0
Skewness11.571173
Sum4396
Variance0.16743295
MonotonicityNot monotonic
2024-06-16T11:47:01.591236image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 73386
96.8%
1 1359
 
1.8%
2 736
 
1.0%
3 122
 
0.2%
4 76
 
0.1%
7 40
 
0.1%
6 31
 
< 0.1%
8 28
 
< 0.1%
5 26
 
< 0.1%
12 3
 
< 0.1%
Other values (2) 4
 
< 0.1%
ValueCountFrequency (%)
0 73386
96.8%
1 1359
 
1.8%
2 736
 
1.0%
3 122
 
0.2%
4 76
 
0.1%
5 26
 
< 0.1%
6 31
 
< 0.1%
7 40
 
0.1%
8 28
 
< 0.1%
9 1
 
< 0.1%
ValueCountFrequency (%)
12 3
 
< 0.1%
10 3
 
< 0.1%
9 1
 
< 0.1%
8 28
 
< 0.1%
7 40
 
0.1%
6 31
 
< 0.1%
5 26
 
< 0.1%
4 76
 
0.1%
3 122
 
0.2%
2 736
1.0%

Curricular units 2nd sem (credited)
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.13632586
Minimum0
Maximum19
Zeros73146
Zeros (%)96.5%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:01.856271image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum19
Range19
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.93223836
Coefficient of variation (CV)6.8383089
Kurtosis109.05785
Mean0.13632586
Median Absolute Deviation (MAD)0
Skewness9.5133258
Sum10335
Variance0.86906836
MonotonicityNot monotonic
2024-06-16T11:47:02.197287image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 73146
96.5%
1 644
 
0.8%
2 603
 
0.8%
4 423
 
0.6%
5 314
 
0.4%
3 183
 
0.2%
6 111
 
0.1%
11 81
 
0.1%
7 66
 
0.1%
9 47
 
0.1%
Other values (10) 193
 
0.3%
ValueCountFrequency (%)
0 73146
96.5%
1 644
 
0.8%
2 603
 
0.8%
3 183
 
0.2%
4 423
 
0.6%
5 314
 
0.4%
6 111
 
0.1%
7 66
 
0.1%
8 38
 
0.1%
9 47
 
0.1%
ValueCountFrequency (%)
19 3
 
< 0.1%
18 3
 
< 0.1%
17 2
 
< 0.1%
16 5
 
< 0.1%
15 12
 
< 0.1%
14 12
 
< 0.1%
13 29
 
< 0.1%
12 44
0.1%
11 81
0.1%
10 45
0.1%

Curricular units 2nd sem (enrolled)
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9390194
Minimum0
Maximum23
Zeros2583
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:02.457239image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q15
median6
Q36
95-th percentile8
Maximum23
Range23
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6175282
Coefficient of variation (CV)0.2723561
Kurtosis8.1820148
Mean5.9390194
Median Absolute Deviation (MAD)0
Skewness-0.54726565
Sum450243
Variance2.6163974
MonotonicityNot monotonic
2024-06-16T11:47:02.744186image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6 38774
51.1%
5 19396
25.6%
8 10346
 
13.6%
7 3293
 
4.3%
0 2583
 
3.4%
11 339
 
0.4%
9 238
 
0.3%
10 230
 
0.3%
12 197
 
0.3%
13 129
 
0.2%
Other values (12) 286
 
0.4%
ValueCountFrequency (%)
0 2583
 
3.4%
1 8
 
< 0.1%
2 24
 
< 0.1%
3 13
 
< 0.1%
4 110
 
0.1%
5 19396
25.6%
6 38774
51.1%
7 3293
 
4.3%
8 10346
 
13.6%
9 238
 
0.3%
ValueCountFrequency (%)
23 1
 
< 0.1%
21 2
 
< 0.1%
19 6
 
< 0.1%
18 8
 
< 0.1%
17 39
 
0.1%
16 3
 
< 0.1%
15 11
 
< 0.1%
14 61
 
0.1%
13 129
0.2%
12 197
0.3%
Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2471277
Minimum0
Maximum33
Zeros8635
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:02.994190image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q39
95-th percentile13
Maximum33
Range33
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.4981652
Coefficient of variation (CV)0.48269677
Kurtosis1.3822174
Mean7.2471277
Median Absolute Deviation (MAD)2
Skewness-0.17459474
Sum549412
Variance12.23716
MonotonicityNot monotonic
2024-06-16T11:47:03.287154image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8 14865
19.6%
6 13082
17.3%
7 10226
13.5%
0 8635
11.4%
9 7703
10.2%
5 5782
 
7.6%
10 5167
 
6.8%
11 3273
 
4.3%
12 3179
 
4.2%
13 1371
 
1.8%
Other values (21) 2528
 
3.3%
ValueCountFrequency (%)
0 8635
11.4%
1 11
 
< 0.1%
2 19
 
< 0.1%
3 12
 
< 0.1%
4 53
 
0.1%
5 5782
 
7.6%
6 13082
17.3%
7 10226
13.5%
8 14865
19.6%
9 7703
10.2%
ValueCountFrequency (%)
33 3
 
< 0.1%
31 1
 
< 0.1%
28 7
 
< 0.1%
27 5
 
< 0.1%
26 2
 
< 0.1%
25 6
 
< 0.1%
24 9
 
< 0.1%
23 11
 
< 0.1%
22 38
0.1%
21 38
0.1%

Curricular units 2nd sem (approved)
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0105921
Minimum0
Maximum20
Zeros18214
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:03.567185image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q36
95-th percentile8
Maximum20
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.7696522
Coefficient of variation (CV)0.69058436
Kurtosis-0.64748882
Mean4.0105921
Median Absolute Deviation (MAD)2
Skewness-0.15420121
Sum304047
Variance7.6709734
MonotonicityNot monotonic
2024-06-16T11:47:03.880181image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6 18890
24.9%
0 18214
24.0%
5 11724
15.5%
4 6671
 
8.8%
8 5061
 
6.7%
3 5014
 
6.6%
7 4592
 
6.1%
2 3096
 
4.1%
1 1660
 
2.2%
11 272
 
0.4%
Other values (11) 617
 
0.8%
ValueCountFrequency (%)
0 18214
24.0%
1 1660
 
2.2%
2 3096
 
4.1%
3 5014
 
6.6%
4 6671
 
8.8%
5 11724
15.5%
6 18890
24.9%
7 4592
 
6.1%
8 5061
 
6.7%
9 172
 
0.2%
ValueCountFrequency (%)
20 2
 
< 0.1%
19 6
 
< 0.1%
18 8
 
< 0.1%
17 18
 
< 0.1%
16 7
 
< 0.1%
15 2
 
< 0.1%
14 17
 
< 0.1%
13 81
 
0.1%
12 130
0.2%
11 272
0.4%

Curricular units 2nd sem (grade)
Real number (ℝ)

ZEROS 

Distinct1233
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6343934
Minimum0
Maximum18
Zeros18215
Zeros (%)24.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:04.175182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median12.114286
Q313.2
95-th percentile14.666667
Maximum18
Range18
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation5.5317488
Coefficient of variation (CV)0.5741668
Kurtosis-0.63643372
Mean9.6343934
Median Absolute Deviation (MAD)1.3142857
Skewness-1.0740724
Sum730393
Variance30.600245
MonotonicityNot monotonic
2024-06-16T11:47:04.531195image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18215
24.0%
11 3467
 
4.6%
12 3418
 
4.5%
13 3018
 
4.0%
12.5 1674
 
2.2%
14 1411
 
1.9%
12.66666667 1392
 
1.8%
10 1350
 
1.8%
11.5 1319
 
1.7%
12.83333333 1114
 
1.5%
Other values (1223) 39433
52.0%
ValueCountFrequency (%)
0 18215
24.0%
1 1
 
< 0.1%
2.2 1
 
< 0.1%
9.833333333 1
 
< 0.1%
10 1350
 
1.8%
10.14285714 1
 
< 0.1%
10.16666667 23
 
< 0.1%
10.2 40
 
0.1%
10.25 139
 
0.2%
10.28571429 1
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
17.71428571 4
< 0.1%
17.69230769 1
 
< 0.1%
17.6 6
< 0.1%
17.5875 1
 
< 0.1%
17.42857143 1
 
< 0.1%
17.33333333 1
 
< 0.1%
17.16666667 5
< 0.1%
17 6
< 0.1%
16.90909091 1
 
< 0.1%
Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06274815
Minimum0
Maximum12
Zeros73677
Zeros (%)97.2%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:04.846184image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4633872
Coefficient of variation (CV)7.3848744
Kurtosis133.21149
Mean0.06274815
Median Absolute Deviation (MAD)0
Skewness10.361313
Sum4757
Variance0.2147277
MonotonicityNot monotonic
2024-06-16T11:47:05.132203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 73677
97.2%
1 1020
 
1.3%
2 437
 
0.6%
3 327
 
0.4%
4 119
 
0.2%
5 108
 
0.1%
6 47
 
0.1%
7 38
 
0.1%
8 34
 
< 0.1%
12 3
 
< 0.1%
ValueCountFrequency (%)
0 73677
97.2%
1 1020
 
1.3%
2 437
 
0.6%
3 327
 
0.4%
4 119
 
0.2%
5 108
 
0.1%
6 47
 
0.1%
7 38
 
0.1%
8 34
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
12 3
 
< 0.1%
10 1
 
< 0.1%
8 34
 
< 0.1%
7 38
 
0.1%
6 47
 
0.1%
5 108
 
0.1%
4 119
 
0.2%
3 327
 
0.4%
2 437
0.6%
1 1020
1.3%

Unemployment rate
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.518223
Minimum7.6
Maximum16.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 MiB
2024-06-16T11:47:05.382155image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile7.6
Q19.4
median11.1
Q312.7
95-th percentile16.2
Maximum16.2
Range8.6
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.6532357
Coefficient of variation (CV)0.23035113
Kurtosis-0.95199402
Mean11.518223
Median Absolute Deviation (MAD)1.7
Skewness0.23028831
Sum873208
Variance7.0396596
MonotonicityNot monotonic
2024-06-16T11:47:05.618183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7.6 10382
13.7%
9.4 10069
13.3%
10.8 9324
12.3%
12.4 8395
11.1%
12.7 7322
9.7%
11.1 6774
8.9%
15.5 6690
8.8%
16.2 6075
8.0%
13.9 5723
7.5%
8.9 5055
6.7%
ValueCountFrequency (%)
7.6 10382
13.7%
8.9 5055
6.7%
9.4 10069
13.3%
10.8 9324
12.3%
11.1 6774
8.9%
12.4 8395
11.1%
12.7 7322
9.7%
13.9 5723
7.5%
14.5 2
 
< 0.1%
15.5 6690
8.8%
ValueCountFrequency (%)
16.2 6075
8.0%
15.5 6690
8.8%
14.5 2
 
< 0.1%
13.9 5723
7.5%
12.7 7322
9.7%
12.4 8395
11.1%
11.1 6774
8.9%
10.8 9324
12.3%
9.4 10069
13.3%
8.9 5055
6.7%

Inflation rate
Real number (ℝ)

Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.230212
Minimum-0.8
Maximum3.7
Zeros0
Zeros (%)0.0%
Negative15791
Negative (%)20.8%
Memory size1.2 MiB
2024-06-16T11:47:05.882423image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-0.8
5-th percentile-0.8
Q10.3
median1.4
Q32.6
95-th percentile3.7
Maximum3.7
Range4.5
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.3989718
Coefficient of variation (CV)1.1371795
Kurtosis-1.0712749
Mean1.230212
Median Absolute Deviation (MAD)1.2
Skewness0.23279439
Sum93263.6
Variance1.957122
MonotonicityNot monotonic
2024-06-16T11:47:06.117465image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1.4 14378
19.0%
2.6 10382
13.7%
-0.8 10069
13.3%
0.5 8395
11.1%
3.7 7321
9.7%
0.6 6774
8.9%
2.8 6692
8.8%
0.3 6075
8.0%
-0.3 5721
 
7.5%
0.7 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
ValueCountFrequency (%)
-0.8 10069
13.3%
-0.6 1
 
< 0.1%
-0.3 5721
 
7.5%
0.3 6075
8.0%
0.4 1
 
< 0.1%
0.5 8395
11.1%
0.6 6774
8.9%
0.7 1
 
< 0.1%
1.4 14378
19.0%
2.5 1
 
< 0.1%
ValueCountFrequency (%)
3.7 7321
9.7%
2.8 6692
8.8%
2.6 10382
13.7%
2.5 1
 
< 0.1%
1.4 14378
19.0%
0.7 1
 
< 0.1%
0.6 6774
8.9%
0.5 8395
11.1%
0.4 1
 
< 0.1%
0.3 6075
8.0%

GDP
Real number (ℝ)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.080726544
Minimum-4.06
Maximum3.51
Zeros0
Zeros (%)0.0%
Negative30160
Negative (%)39.8%
Memory size1.2 MiB
2024-06-16T11:47:06.333590image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum-4.06
5-th percentile-4.06
Q1-1.7
median0.32
Q31.79
95-th percentile3.51
Maximum3.51
Range7.57
Interquartile range (IQR)3.49

Descriptive statistics

Standard deviation2.2499981
Coefficient of variation (CV)-27.87185
Kurtosis-1.0590471
Mean-0.080726544
Median Absolute Deviation (MAD)1.47
Skewness-0.37847965
Sum-6119.96
Variance5.0624915
MonotonicityNot monotonic
2024-06-16T11:47:06.644602image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.32 10382
13.7%
-3.12 10070
13.3%
1.74 9326
12.3%
1.79 8396
11.1%
-1.7 7322
9.7%
2.02 6774
8.9%
-4.06 6693
8.8%
-0.92 6075
8.0%
0.79 5722
7.5%
3.51 5050
6.7%
ValueCountFrequency (%)
-4.06 6693
8.8%
-3.12 10070
13.3%
-1.7 7322
9.7%
-0.92 6075
8.0%
0.32 10382
13.7%
0.74 1
 
< 0.1%
0.79 5722
7.5%
1.74 9326
12.3%
1.79 8396
11.1%
2.02 6774
8.9%
ValueCountFrequency (%)
3.51 5050
6.7%
2.02 6774
8.9%
1.79 8396
11.1%
1.74 9326
12.3%
0.79 5722
7.5%
0.74 1
 
< 0.1%
0.32 10382
13.7%
-0.92 6075
8.0%
-1.7 7322
9.7%
-3.12 10070
13.3%

Target
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size5.3 MiB
Graduate
35900 
Dropout
25040 
Enrolled
14871 

Length

Max length8
Median length8
Mean length7.6697049
Min length7

Characters and Unicode

Total characters581448
Distinct characters13
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGraduate
2nd rowDropout
3rd rowDropout
4th rowEnrolled
5th rowGraduate

Common Values

ValueCountFrequency (%)
Graduate 35900
47.4%
Dropout 25040
33.0%
Enrolled 14871
19.6%

Length

2024-06-16T11:47:06.959590image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-06-16T11:47:07.186591image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
ValueCountFrequency (%)
graduate 35900
47.4%
dropout 25040
33.0%
enrolled 14871
19.6%

Most occurring characters

ValueCountFrequency (%)
r 75811
13.0%
a 71800
12.3%
o 64951
11.2%
u 60940
10.5%
t 60940
10.5%
d 50771
8.7%
e 50771
8.7%
G 35900
6.2%
l 29742
 
5.1%
D 25040
 
4.3%
Other values (3) 54782
9.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 505637
87.0%
Uppercase Letter 75811
 
13.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 75811
15.0%
a 71800
14.2%
o 64951
12.8%
u 60940
12.1%
t 60940
12.1%
d 50771
10.0%
e 50771
10.0%
l 29742
 
5.9%
p 25040
 
5.0%
n 14871
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
G 35900
47.4%
D 25040
33.0%
E 14871
19.6%

Most occurring scripts

ValueCountFrequency (%)
Latin 581448
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 75811
13.0%
a 71800
12.3%
o 64951
11.2%
u 60940
10.5%
t 60940
10.5%
d 50771
8.7%
e 50771
8.7%
G 35900
6.2%
l 29742
 
5.1%
D 25040
 
4.3%
Other values (3) 54782
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 581448
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 75811
13.0%
a 71800
12.3%
o 64951
11.2%
u 60940
10.5%
t 60940
10.5%
d 50771
8.7%
e 50771
8.7%
G 35900
6.2%
l 29742
 
5.1%
D 25040
 
4.3%
Other values (3) 54782
9.4%

Interactions

2024-06-16T11:46:37.320297image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:57.229304image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:04.467718image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:11.856586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:19.259607image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:26.444746image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:34.671445image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:43.748665image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:50.962798image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:58.992254image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:09.674464image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:17.886152image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:25.537089image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:32.945817image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:40.807461image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:50.880354image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:00.564609image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:08.534961image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:17.984593image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:26.879173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:36.023464image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:46.888176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:55.324177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:04.657225image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:14.803174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:22.791549image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:29.987148image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:37.611878image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:57.498344image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:04.678718image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:12.131547image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:19.568594image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:26.732874image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:34.944451image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:43.968478image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:51.176800image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:59.340225image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:10.205586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:18.178266image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:25.762185image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:33.213985image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:41.101454image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:51.257071image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:00.869838image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:08.917921image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:18.265582image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:27.211162image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:36.350459image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:47.352174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:55.649181image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:05.055172image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:15.064185image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:23.042551image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:30.277321image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:37.857090image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:57.735327image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:04.944719image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:12.405552image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:19.827604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:27.013747image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:35.307764image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:44.255483image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:51.400827image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:59.805230image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:10.510494image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:18.411298image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:26.072227image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:33.518977image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:41.407695image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:51.713014image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:01.137181image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:09.278923image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:18.811048image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:27.528160image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:36.642553image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:47.632176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:55.984273image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:05.412190image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:15.375174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:23.333594image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:30.537656image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:38.086145image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:57.936339image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:05.149730image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:12.658559image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:20.075591image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:27.671144image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:35.885462image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:44.577475image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:51.614416image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:00.108222image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:10.797494image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:18.627296image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:26.368220image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:33.826905image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:41.730861image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:52.233035image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:01.454222image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:09.517915image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:19.268327image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:27.805546image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:36.897553image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:47.915176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:56.232182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:05.942178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:15.621172image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:23.583602image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:30.753662image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:38.339103image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:58.155303image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:05.373716image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:12.902743image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:20.348927image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:27.915135image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:36.304455image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:44.804472image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:51.897446image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:00.427972image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:11.096460image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:18.872635image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:26.634177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:34.108893image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:42.081823image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:52.631047image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:01.771171image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:09.820914image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:19.569328image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:28.105552image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:37.363216image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:48.233174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:56.536173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:06.240175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:15.880174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:23.872587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:31.024663image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:38.611105image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:58.418313image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:05.604006image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:13.165560image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:20.608521image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:28.152141image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:36.587765image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:45.048511image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:52.183405image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:00.721258image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:11.362144image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:19.121403image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:26.871234image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:34.388288image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:42.348446image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:53.194107image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:02.073810image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:10.141918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:19.860333image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:28.400558image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:37.844488image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:48.493175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:56.783213image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:06.692251image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:16.164181image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:24.105553image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:31.272087image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:38.840484image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:58.717302image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:05.948440image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:13.444700image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:20.832487image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:28.465099image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:37.117728image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:45.391875image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:52.499021image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:01.096230image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:11.625397image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:19.754590image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:27.124213image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:34.677232image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:43.523333image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:53.565149image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:02.393771image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:10.536918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:20.143240image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:28.726828image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:38.183175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:48.778129image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:57.129177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:07.799176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:16.518176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:24.392556image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:31.521076image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:39.044482image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:58.981354image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:06.207442image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:13.713351image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:21.093481image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:28.732066image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:37.364723image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:45.664728image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:52.767026image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:01.398211image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:11.919803image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:20.022660image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:27.385213image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:35.016236image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:43.872811image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:53.887832image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:02.661777image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:10.795936image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:20.443245image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:28.987544image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:38.459289image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:49.036777image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:57.427176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:08.124757image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:16.821353image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:24.626597image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:31.765041image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:39.290056image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:59.209807image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:06.477442image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:13.990404image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:21.335521image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:28.944098image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:37.654526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:45.891672image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:52.992025image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:01.641214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:12.187796image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:20.280549image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:27.619562image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:35.295274image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:44.133806image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:54.122865image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:02.934333image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:11.137922image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:20.721242image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:29.213550image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:39.145175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:49.302176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:57.731216image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:08.446218image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:17.143351image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:24.843594image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:32.019043image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:39.540051image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:59.462768image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:06.798394image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:14.268378image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:21.636481image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:29.208059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:38.016482image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:46.137682image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:53.308033image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:02.058218image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:12.442064image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:20.614589image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:27.948262image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:35.585265image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:44.660123image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:54.462231image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:03.207323image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:11.473916image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:21.018276image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:29.552544image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:39.524178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:49.583177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:58.075176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:08.917182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:17.413393image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:25.154550image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:32.686365image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:39.801052image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:42:59.763824image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:07.072447image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:14.565418image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:21.929096image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:29.481058image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:38.363796image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:46.462672image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:53.955039image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:02.537223image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:12.768799image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:20.886589image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:28.220254image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:35.868278image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:45.176494image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:54.955226image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:03.733327image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:12.246932image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:21.326248image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:29.953587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:39.866182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:49.892180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:58.435184image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:09.373215image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:17.684762image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:25.421489image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:32.921498image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:40.082377image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:00.020810image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:07.328425image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:14.874427image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:22.207057image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:29.762125image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:38.646797image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:46.749712image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:54.242023image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:02.874079image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:13.043837image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:21.153604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:28.528225image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:36.143269image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:45.503349image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:55.439280image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:04.057382image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:12.621919image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:21.622361image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:30.263586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:40.160174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:50.227180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:58.710214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:09.705175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:17.964723image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:25.666437image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:33.162491image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:40.346019image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:00.261767image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:07.592399image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:15.118791image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:22.448386image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:30.019867image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:38.981837image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:46.988676image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:54.502750image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:03.168042image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:13.373802image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:21.402552image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:28.812002image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:36.381232image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:45.851350image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:55.836227image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:04.574918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:12.917964image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:21.853274image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:30.534590image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:40.446176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:50.537174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:58.956178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:10.038181image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:18.275731image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:25.900485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:33.432538image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:40.659063image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:00.562777image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:07.905399image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:15.417484image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:22.738057image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:30.331987image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:39.610625image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:47.286698image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:54.776633image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:03.609810image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:13.773801image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:21.658586image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:29.117572image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:36.712890image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:46.189348image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:56.179230image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:04.872921image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:13.283930image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:22.184156image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:30.859555image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:40.908174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:50.888180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:59.243182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:10.372212image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:18.597380image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:26.192484image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:33.691493image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:40.945009image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:00.852820image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:08.171405image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:15.655526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:22.987194image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:30.598888image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:39.918617image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:47.503693image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:55.106645image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:03.960307image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:14.066818image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:21.897548image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:29.353587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:36.953028image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:46.475386image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:56.487228image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:05.123914image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:13.662599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:22.462120image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:31.189869image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:41.252425image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:51.202177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:59.591175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:10.716181image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:19.016091image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:26.444437image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:33.924952image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:41.205063image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:01.112088image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:08.427742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:15.878522image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:23.311189image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:30.807817image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:40.234742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:47.770700image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:55.390634image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:04.417694image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:14.304805image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:22.167574image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:29.630587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:37.205995image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:46.760387image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:56.874668image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:05.360918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:14.068283image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:22.752240image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:31.532595image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:41.532173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:51.493208image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:59.933178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:11.013174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:19.300087image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:26.689444image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:34.188541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:41.465820image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:01.356038image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:08.700746image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:16.117051image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:23.559349image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:31.078806image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:40.583707image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:48.019283image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:55.650629image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:05.020162image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:14.583399image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:22.421734image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:29.900114image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:37.482006image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:47.067387image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:57.159648image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:05.591920image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:14.352253image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:23.078249image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:31.810236image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:41.811178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:51.801269image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:00.334181image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:11.362173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:19.571220image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:26.930438image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:34.424532image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:41.733809image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:01.630077image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:08.974745image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:16.505527image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:23.846355image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:31.334815image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:40.889742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:48.334248image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:55.974599image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:05.421160image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:14.900842image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:22.725815image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:30.194585image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:37.777036image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:47.423354image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:57.438683image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:05.851918image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:14.699632image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:23.440400image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:32.100921image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:42.304176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:52.177179image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:00.675184image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:11.700173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:19.902218image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:27.232494image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:34.673525image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:42.000793image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:01.888360image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:09.215786image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:16.743519image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:24.127565image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:31.606857image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:41.210704image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:48.633793image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:56.248603image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:05.749160image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:15.220100image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:23.014017image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:30.506458image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:38.082997image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:47.815347image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:57.734757image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:06.103933image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:15.069627image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:23.962072image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:32.510968image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:42.665175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:52.520216image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:01.041178image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:12.028177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:20.182278image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:27.553442image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:34.936741image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:42.310836image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:02.200089image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:09.520929image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:17.066485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:24.435685image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:31.913120image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:41.533711image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:48.918792image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:56.535597image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:06.104161image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:15.589105image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:23.319812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:30.844829image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:38.340705image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:48.197352image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:58.074773image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:06.387141image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:15.504625image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:24.283367image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:32.874959image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:43.031475image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:52.776176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:01.344218image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:12.461174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:20.475271image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:27.847331image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:35.209992image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:42.541825image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:02.469179image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:09.793226image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:17.321526image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:24.666856image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:32.136111image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:41.838712image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:49.202792image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:56.825596image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:06.515765image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:15.850133image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:23.570306image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:31.107489image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:38.648712image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:48.477384image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:58.420314image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:06.669929image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:15.754673image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:24.607064image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:33.208919image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:43.369177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:53.078176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:01.661183image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:12.758182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:20.722226image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:28.096282image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:35.451397image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:42.800499image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:02.715042image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:10.160269image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:17.581487image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:24.925742image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:32.383143image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:42.133492image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:49.468808image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:57.155610image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:06.946660image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:16.116879image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:23.836309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:31.346497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:38.929164image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:48.811383image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:58.735350image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:06.926922image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:16.039968image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:24.918331image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:33.543919image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:43.930177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:53.403216image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:02.011180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:13.103947image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:21.025269image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:28.347281image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:35.745597image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:43.071138image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:03.008035image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:10.473270image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:17.891485image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:25.228738image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:32.717227image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:42.391937image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:49.738936image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:57.504604image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:07.405188image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:16.416067image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:24.147449image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:31.611516image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:39.308128image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:49.273349image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:59.098510image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:07.189952image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:16.406017image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:25.295198image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:34.006511image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:44.508174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:53.696517image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:02.464189image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:13.449173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:21.368405image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:28.647336image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:36.040276image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:43.354094image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:03.263035image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:10.763272image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:18.183487image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:25.486771image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:33.236232image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:42.645976image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:50.005792image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:57.814637image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:07.847203image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:16.737816image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:24.409430image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:31.884197image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:39.608131image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:49.605387image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:59.430673image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:07.460921image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:16.697628image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:25.589161image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:34.693059image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:45.229176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:53.981271image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:03.068176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:13.703214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:21.690356image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:28.902351image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:36.305293image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:43.676309image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:03.501714image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:11.075542image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:18.485831image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:25.710775image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:33.773329image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:42.922642image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:50.259799image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:58.104592image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:08.223170image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:17.012680image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:24.696409image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:32.113168image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:39.927164image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:49.909385image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:59.704211image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:07.712916image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:17.017628image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:25.929250image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:35.032497image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:45.596174image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:54.282506image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:03.444182image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:13.948214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:21.947195image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:29.163687image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:36.544244image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:43.886301image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:03.717721image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:11.307537image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:18.736229image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:25.964944image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:34.080227image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:43.163630image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:50.474800image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:58.412632image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:08.674466image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:17.286150image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:24.938545image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:32.424227image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:40.179133image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:50.190347image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:00.026214image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:07.970917image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:17.348587image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:26.216156image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:35.319457image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:45.943180image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:54.606176image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:03.829190image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:14.210177image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:22.246166image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:29.374321image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:36.815873image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:44.137315image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:04.211720image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:11.570541image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:18.995939image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:26.191898image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:34.369442image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:43.452630image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:50.718800image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:43:58.673603image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:09.144461image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:17.572150image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:25.218131image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:32.665781image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:40.490463image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:44:50.533348image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:00.285801image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:08.259959image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:17.677603image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:26.501199image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:35.652521image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:46.377175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:45:54.888173image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:04.285199image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:14.457188image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:22.522633image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:29.654647image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-06-16T11:46:37.033901image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Missing values

2024-06-16T11:46:44.584647image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-06-16T11:46:45.947853image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Marital statusApplication modeApplication orderCourseDaytime/evening attendancePrevious qualificationPrevious qualification (grade)Mother's qualificationFather's qualificationMother's occupationFather's occupationAdmission gradeDisplacedDebtorTuition fees up to dateGenderScholarship holderAge at enrollmentCurricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (approved)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Unemployment rateInflation rateGDPTarget
0111923811126.011955122.60010118066614.5000000067612.428571011.10.62.02Graduate
11171923811125.0191999119.81010018068411.600000006900.000000011.10.62.02Dropout
21172925411137.031923144.7001101806000.000000006000.000000016.20.3-0.92Dropout
3113950011131.019332126.11010118079712.59125000811712.820000011.10.62.02Enrolled
4112950011132.0193749120.110100180712612.93333300712612.93333307.62.60.32Graduate
51391171119133.1191911100.0001102400000.000000000000.000000013.9-0.30.79Dropout
614419085139130.0373796130.01010021057412.7500000058513.250000012.40.51.79Graduate
7111977311130.0193745133.91011018066513.0000000066613.666667010.81.41.74Graduate
81391900311133.1191999130.0110102406800.0000000061000.000000016.20.3-0.92Dropout
9116950011135.0373749128.01010118077612.9666670077612.96666707.62.60.32Graduate
Marital statusApplication modeApplication orderCourseDaytime/evening attendancePrevious qualificationPrevious qualification (grade)Mother's qualificationFather's qualificationMother's occupationFather's occupationAdmission gradeDisplacedDebtorTuition fees up to dateGenderScholarship holderAge at enrollmentCurricular units 1st sem (credited)Curricular units 1st sem (enrolled)Curricular units 1st sem (evaluations)Curricular units 1st sem (approved)Curricular units 1st sem (grade)Curricular units 1st sem (without evaluations)Curricular units 2nd sem (credited)Curricular units 2nd sem (enrolled)Curricular units 2nd sem (evaluations)Curricular units 2nd sem (approved)Curricular units 2nd sem (grade)Curricular units 2nd sem (without evaluations)Unemployment rateInflation rateGDPTarget
76508111923811132.01143123.81010019069510.6000000068511.400000011.10.62.02Graduate
76509111950011147.0371998140.70010019077614.9666670077614.96666707.62.60.32Graduate
76510111977311130.012393153.61011018066613.8333330066614.666667013.9-0.30.79Graduate
765111171977311138.011940134.21010018066613.6666670066613.000000012.40.51.79Graduate
76512111923811134.0193847122.11010019066612.6666670066612.16666707.62.60.32Graduate
765131171925411121.019175116.51010118069610.6666670068510.600000013.9-0.30.79Graduate
76514116925411125.013849131.610100190622413.0000000069613.87500009.4-0.8-3.12Graduate
765155171908511138.03737910123.310100190513412.5000002058511.40000019.4-0.8-3.12Enrolled
76516113907011136.0383759124.8101001806000.000000006000.00000007.62.60.32Dropout
76517111977311133.1191949131.01010019066612.8333330066613.666667015.52.8-4.06Graduate